Artificial intelligence based predictive models for early sepsis detection in intensive care units: a scoping review [0.03%]
基于人工智能的预测模型在重症监护病房中用于早期败血症检测：系统综述
Mariana González Garcés,Juanita Valencia García,Camilo Jiménez Triana et al.
Mariana González Garcés et al.
Background: Early detection of sepsis in intensive care units remains a major clinical challenge. Artificial intelligence based predictive models have emerged as promising tools to support early identification of sepsis, ...
Why digital health fails silently: a sociotechnical theory of health information technology-related risk [0.03%]
数字医疗为何悄然失败：健康信息科技相关风险的社会技术理论
Md Shafiqur Rahman Jabin
Md Shafiqur Rahman Jabin
Introduction: Health information technology (HIT) is now integral to healthcare delivery, supporting clinical documentation, prescribing, diagnostics, and care coordination. Although these technologies offer substantial b...
Artificial intelligence and ChatGPT literacy among surgical healthcare professionals: knowledge, attitudes, and perceived clinical utility [0.03%]
外科医务人员的人工智能和ChatGPT素养：知识、态度及临床实用性的感知
Yasmin Safi,Saleh Abualhaj,Lina Alshadfan et al.
Yasmin Safi et al.
Background: Artificial intelligence (AI) and large language models such as ChatGPT are increasingly applied in surgical education and practice. Successful integration requires healthcare professionals to have adequate lit...
How to culturally adapt mental mHealth apps: lessons from an Australian Arabic-speaking community survey [0.03%]
面向澳大利亚阿拉伯语社区的调查：如何使精神健康移动医疗软件适应当地文化
Noorah Ibrahim S Alnaghaimshi,Michael Proeve,Scott R Clark et al.
Noorah Ibrahim S Alnaghaimshi et al.
Background: Culturally and religiously responsive mental mobile health (mHealth) apps may improve access to and acceptability of mental health support among migrant communities; however, evidence to inform their design re...
Generative AI as a de facto mental health provider: a policy brief and urgent call for regulation [0.03%]
生成式人工智能作为事实上的心理健康服务提供者：一项政策简报和迫切的监管呼吁
Elad Refoua,Karny Gigi,Inbar Levkovich et al.
Elad Refoua et al.
Generative AI platforms such as ChatGPT, Claude, and Gemini have become de facto mental health resources for millions of users worldwide, driven by accessibility, low cost, anonymity, and growing gaps in professional care. This rapid, unreg...
Assessment of cybersickness induced by augmented reality ultrasound procedures using head-mounted display [0.03%]
基于头戴式显示器的增强现实超声检查中网络空间病的症状评估研究
Thomas Saliba,Pierre Frossard,Giuseppe Gullo
Thomas Saliba
Introduction: Augmented Reality (AR) has emerging applications in medical imaging, particularly ultrasound. However, concerns about cybersickness may hinder widespread adoption. This is the first study to evaluate cybersi...
Muhammad Hamza,Nasir Uddin,Gulnaz Anjum et al.
Muhammad Hamza et al.
Introduction: Human Activity Recognition (HAR) using sensor-generated time-series data has gained significant attention for assessing mental and physical states to address various behavioral disorders. This study utilizes...
Study on the characteristics analysis and recognition method of vowels in patients with type Ⅱ diabetes [0.03%]
2型糖尿病患者元音发音特征分析及识别方法研究
Huawei Tao,Shuailong Zheng,Peng Li et al.
Huawei Tao et al.
Type 2 diabetes mellitus (T2DM) can induce impairments in vocal fold function and neural control, resulting in systematic changes in vowel articulation that may serve as objective biomarkers for speech-based disease detection. Traditional s...
Artificial intelligence and digital health equity: a post-pandemic evidence synthesis and implementation safeguards framework [0.03%]
人工智能与数字卫生公平性：疫情后的证据综合与实施保障框架
Albert Nii Noi Okwei
Albert Nii Noi Okwei
Introduction: The rapid expansion of AI-enabled digital health after COVID-19 created new possibilities for extending care while raising concerns about unequal access, subgroup underperformance, and weak accountability. T...
Md Shafiqur Rahman Jabin
Md Shafiqur Rahman Jabin